Teru Kawasoe
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Cell Biology
- Co-authors
- Yataro DaigoTadashi NishiwakiYoichi FurukawaHideyuki IshiguroYusuke NakamuraManabu FujitaSeiji SatohNobutomo Miwa
- Topics
- Breast Cancer Treatment Studies (4 papers)Cancer-related gene regulation (4 papers)Cancer Treatment and Pharmacology (3 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Teru Kawasoe
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 953
- Oncology 332
- Cancer Research 292
- Pathology and Forensic Medicine 183
- Cell Biology 96
Countries citing papers authored by Teru Kawasoe
This map shows the geographic impact of Teru Kawasoe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Teru Kawasoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teru Kawasoe more than expected).
Fields of papers citing papers by Teru Kawasoe
This network shows the impact of papers produced by Teru Kawasoe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Teru Kawasoe. The network helps show where Teru Kawasoe may publish in the future.
Co-authorship network of co-authors of Teru Kawasoe
This figure shows the co-authorship network connecting the top 25 collaborators of Teru Kawasoe. A scholar is included among the top collaborators of Teru Kawasoe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teru Kawasoe. Teru Kawasoe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | Nuclear corepressor 1 expression predicts response to first-line endocrine therapy for breast cancer patients on relapse. | 10 |
| 5 | 55 | |
| 6 | 18 | |
| 7 | 21 | |
| 8 | [A case of spindle cell carcinoma of the breast including metaplastic lesion with poor prognosis]. | 1 |
| 9 | 31 | |
| 10 | 126 | |
| 11 | 54 | |
| 12 | 7 | |
| 13 | 52 | |
| 14 | 34 | |
| 15 | AXIN1 mutations in hepatocellular carcinomas, and growth suppression in cancer cells by virus-mediated transfer of AXIN1breakdown → | 792 |
| 16 | 4 | |
| 17 | 37 | |
| 18 | 9 |
About Teru Kawasoe
Teru Kawasoe is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer-related gene regulation (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (953 citations) and Oncology (332 citations). Teru Kawasoe has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yataro Daigo, Tadashi Nishiwaki, Yoichi Furukawa, Hideyuki Ishiguro, Yusuke Nakamura, Manabu Fujita, Seiji Satoh, Nobutomo Miwa, Hirotaka Iwase and Tatsushi Kato. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Clinical Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.